Abstract
Cognitive Radio Sensor Network (CRSN) is an advanced wireless communication paradigm, which overcomes the limitation energy and bandwidth constraints for the conventional Wireless Sensor Network (WSN) by avoiding overcrowded transmission bands. Sensor nodes in CRSN function as secondary users, providing opportunistic access to unoccupied channels for a band that is primarily allowed to a primary user. Throughout this paper, we propose a technique that constructs energy-efficient distributed clusters in a dynamic frequency medium with self-organized fashion. Intra-cluster connectivity is enhanced by picking cluster head in rotation mechanism depending on nodes’ residual energy rate, number of channels, single hop to neighbors, distance to sink, and communication cost for nodes. Moreover, based on these proposed network parameters the appropriate number of clusters is determined. Simulation results proved the superiority of the proposed technique over other algorithms, considering the lifespan of the network.
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Bakr, R., Aziz El-Banna, A.A., El-Shaikh, S.A.A., Tag ELdien, A.S. (2021). Energy Efficient Spectrum Aware Distributed Clustering in Cognitive Radio Sensor Networks. In: Hassanien, A.E., Slowik, A., Snášel, V., El-Deeb, H., Tolba, F.M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2020. AISI 2020. Advances in Intelligent Systems and Computing, vol 1261. Springer, Cham. https://doi.org/10.1007/978-3-030-58669-0_46
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DOI: https://doi.org/10.1007/978-3-030-58669-0_46
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